Implementing AI not only improves service but also delivers real results:
NPS/CSI growth across all age groups
Reduced churn and increased loyalty
Increased revenue through relevant offers
Up to 40% reduction in call center workload thanks to automation.
How to implement?
It’s best to start with three steps:
Gather data on the behavior of different segments
Train models on real-life scenarios
Build a system where AI enhances humans rather than replacing them
Bridge between generations — a challenging but solvable task
The key is to use technologies that adapt to the customer, not force the customer to adapt to them.
If you’re looking for ways to apply AI in business, meet Dialogiq — our platform for intelligent customer service. It helps with complex scenarios, providing natural communication, easy integration, and customization for your company’s needs.
The audiences of banks, telecom operators, and retailers today are extremely diverse.
Gen Z expects instant answers, personalized offers on social media, and convenient self-service.
Boomers value simplicity, human interaction, and support in adopting digital services.
It’s impossible to satisfy everyone with the same interface: younger customers switch to more “advanced” competitors, while older ones lose loyalty due to complicated and confusing solutions.
AI as a “translator” between generations
Modern AI platforms allow business to tailor services for each client without extra costs.
Adaptive chatbots: quick replies with emojis for Gen Z, and polite conversations with the option to “call a live operator” for older people.
Ability to conduct dialogue in multiple languages;
Interactive dialogue with the ability to retrieve client information from the company’s internal systems;
Predictive analytics: AI anticipates needs — a gaming plan for gamers or an SMS payment reminder for older people.
Voice assistants: help bridge the digital gap by turning instructions into voice prompts.
Different Generations — Different Expectations
🎯 What does it bring to the business?
Why a universal approach doesn’t work and how artificial intelligence helps business speak the same language with different generations.
From Gen Z to Boomers: How AI Bridges the Engagement Gap